Instructions to use morit/toxic_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morit/toxic_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="morit/toxic_8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morit/toxic_8") model = AutoModelForSequenceClassification.from_pretrained("morit/toxic_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from morit/toxic_8: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/morit/toxic_8/resolve/main/training_args.bin
- Command line
-
hf download hf://morit/toxic_8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/morit/toxic_8/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 7eb1295ca06cb3cb0b9b20e8a8499305c817cbe4e74e02ea2a6334dae5189db4
- Size of remote file:
- 3.39 kB
- SHA256:
- a1ba1b164761e4d5a84e028c5e3250df06a61540aab51e6c3f7af57d88668b78
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